ABOUT / CV
SYKEEM
A chemistry student interested in the small, occasionally chaotic gap between a molecular model and what the computer actually does with it.
## Profile
- **Role**: Chemistry student / computational chemistry researcher
- **Location**: Seoul, Korea
- **Email**: your@email.com
- **GitHub**: [github.com/412ksy](https://github.com/412ksy)
I am interested in using molecular simulation and electronic-structure methods
to ask useful questions about chemical systems. In practice, this means writing
scripts, reading manuals, checking units twice, and occasionally discovering
that the simulation box was the problem all along.
## Research interests
- Molecular dynamics and enhanced sampling
- Statistical mechanics and free-energy methods
- Electronic structure and quantum chemistry
- Molecular interactions under periodic boundary conditions
- Scientific computing and reproducible workflows
## Methods and tools
**Methods**
- Classical molecular dynamics
- Monte Carlo sampling
- Density functional theory
- Force-field modelling
- Trajectory analysis
**Computing**
- Python · NumPy · SciPy · Matplotlib
- Linux · Git · shell scripting
- Jupyter notebooks and small, inspectable analysis scripts
- [Add your preferred simulation / electronic-structure packages here]
## Education
### [University name], [Department / major]
**B.S. / M.S. in Chemistry · [year] — [year or Present]**
- Advisor: [Name]
- Thesis / research topic: [One concise line]
- Relevant coursework: statistical mechanics, quantum chemistry, molecular simulation
## Research experience
### [Lab or research group]
**Undergraduate / graduate researcher · [year] — Present**
- Describe the chemical question, not only the software used.
- Note the model system, method, and your contribution.
- Link to a paper, poster, repository, or project page when there is one.
## Elsewhere
- [Google Scholar](#) · [ORCID](#) · [LinkedIn](#)
- This site’s [notes](/posts/) are where I keep the derivations,
computational detours, and answers to questions I would otherwise forget by next week.